Food image classification using local appearance and global structural information
نویسندگان
چکیده
منابع مشابه
Food image classification using local appearance and global structural information
This paper proposes food image classification methods exploiting both local appearance and global structural information of food objects. The contribution of the paper is threefold. First, non-redundant local binary pattern (NRLBP) is used to describe the local appearance information of food objects. Second, the structural information of food objects is represented by the spatial relationship b...
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ژورنال
عنوان ژورنال: Neurocomputing
سال: 2014
ISSN: 0925-2312
DOI: 10.1016/j.neucom.2014.03.017